AI/ML Solution Specialist (Banking, 1-year renewable contract)

Key Responsibilities

• Participate in the design, development and implementation of AI/ML solutions and applications.
• Work with technical leads, architects and development teams to translate business and technical requirements into AI/ML solutions.
• Develop, test and optimize machine learning models and AI-related applications.
• Support the end-to- end ML development lifecycle, including data preparation, model development, testing, deployment and monitoring.
• Perform data analysis, data mapping and data preparation to support AI/ML model development.
• Integrate AI/ML models and solutions with existing applications, systems and data platforms.
• Conduct testing, debugging and troubleshooting to ensure the quality, reliability and performance of AI/ML solutions.
• Work with application, infrastructure, security and testing teams to ensure solutions meet technical, security and operational standards.
• Support system integration, SIT/UAT and performance testing activities where required.
• Investigate technical issues, perform root cause analysis and recommend appropriate solutions or improvements.
• Prepare technical documentation, including solution designs, technical specifications, data flows, model documentation and testing documentation.
• Monitor and optimize existing AI/ML solutions to improve performance, scalability and reliability.
• Stay updated on emerging AI/ML technologies, tools and industry practices, and identify opportunities to apply them within the organization.
• Collaborate with internal teams and external vendors to support successful project delivery.

Key Requirements

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering or a related discipline.
• Relevant experience in AI/ML, Machine Learning, Data Science or AI application development.
• Candidates with strong university AI/ML projects, internships or relevant academic experience will also be considered.
• Experience developing or working with machine learning models and AI/ML applications.
• Good understanding of the AI/ML lifecycle, including data preparation, model training, evaluation, deployment and monitoring.
• Strong programming skills in Python or other relevant programming languages.
• Familiarity with common AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas or equivalent.
• Understanding of data structures, algorithms, statistics and basic machine learning concepts.
• Familiarity with SQL and working with structured or unstructured data.
• Exposure to cloud platforms such as AWS, Azure or GCP is an advantage.
• Experience with APIs, application integration, Git and CI/CD is an advantage.
• Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues and work through complex problems.
• Good communication and interpersonal skills, with the ability to collaborate with technical and non-technical stakeholders.
• Proactive, adaptable and willing to learn new technologies.